Cloud-based Evolutionary Algorithm for Network on Chip (NoC) Test Scheduling using NoC as TAMs
Network on Chip is a novel system-on-chip paradigm.Developing an efficient test strategy is essential for future NoC development.We propose to use cloud theory to solve core test scheduling problem for NoC using NoC communication network as test access mechanisms (TAMs).A cloud model is build and used by our evolutionary algorithm to optimize NoC testing time under power consumption constraint.The goal is to use cloud evolutionary algorithm to schedule testing of NoC cores as much in parallel as possible.Experiments show that the proposed algorithm converges much faster than the tradition evolutionary algorithm and can find testing schedules that reduce NoC testing time.
network on chip test optimization cloud evolution algorithm
Chuanpei Xu Malgorzata Chrzanowska-Jeske Pu Zhang Cong Hu
Guilin University of Electronic Technology, Guilin 541004, China Portland State University, Portland 97201, USA Military Representative Office of Wuhan Bureau Stationed in Changsha 410014, China
国际会议
2012第八届精密工程测量和仪器仪表国际研讨会(ISPEMI2012)
成都
英文
1-8
2012-08-08(万方平台首次上网日期,不代表论文的发表时间)